جست‌وجوی استاد و پژوهشگر

Xiaobo Liمشاهده پروفایل

استاد

• Neuroscience
• Medical Imaging
• Machine Learning Applications in Neurology
• +۳ مورد دیگر

Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis. Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004) B.S., Nanjing University of Aeronautics (Automation, 1999) Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD , schizophrenia , and traumatic brain injury . Their studies analyze structural-functional connectivity , reward processing , and gut-brain axis interactions using fMRI , fNIRS , and diffusion tensor imaging . Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.

• Sustainable Design
• Circular Economy
• Rebound Effects
• +۷ مورد دیگر

Daniela C. A. Pigosso is a Professor of Design for Absolute Sustainability at DTU Construct, Department of Civil and Mechanical Engineering, Technical University of Denmark. She leads the ERC Consolidator project REBOUNDLESS and is a key figure in sustainable design and circular economy research. Her work bridges academia and industry, with strong international collaboration and policy impact. Research Interests: Her expertise spans Sustainable Design, Circular Economy, Rebound Effects, Eco-innovation, and Engineering Design. She focuses on how product development can drive absolute sustainability, prevent unintended consequences of efficiency gains, and promote systemic change in manufacturing and service systems. Her work contributes to multiple UN Sustainable Development Goals. Recent Research Trends: Her latest publications highlight decision-making tools for sustainability trade-offs, behavioral mechanisms behind rebound effects, circularity metrics aligned with EU frameworks, and strategies for industrial transition. There is a clear trend toward integrating behavioral science, policy, and industrial application in circular economy research. Scientific Awards: Grundfos Prize - The Stars of Tomorrow (2024) ACPN Medal Award - Young Researcher (2021) Best Paper Award (2015) Best Paper Award (2013) Design Society's Reviewers' Favorite (2020) Advising and Grants: She is main supervisor for multiple PhD projects on rebound effects, carbon reduction, and simulation modeling. She leads high-impact research funded by the European Research Council and other national/international bodies, demonstrating strong grant acquisition and project leadership. Labs and Teams: She is part of DTU Construct, a research environment focused on sustainable construction and engineering design, and collaborates extensively within the Design Society network and the Biomimicry Institute.

Gerrit Remaneمشاهده پروفایل

استاد

• Digital Transformation
• IT Management
• Business Intelligence
• +۷ مورد دیگر

Prof. Dr. Gerrit Remane is a full-time professor at Wedel University of Applied Sciences since 2018, leading the Bachelor's program in IT Management, Consulting, and Auditing (IMCA) and the Master's program in Business Information Systems / IT Management (WIM). He specializes in IT management, business intelligence, and digital transformation, integrating his industry experience from Roland Berger and academic research on digital business models and innovation. Education: Dr. rer. pol (Digital Business Models in the Mobility Sector), Georg-August-University Göttingen (2014–2017) M.Sc. Business Information Systems, Technical University of Munich (2008–2011) B.Sc. Business Information Systems, Wedel University of Applied Sciences (2005–2008) Research Interests: Digital transformation and business model innovation Agile methodologies in enterprise IT Strategic data acquisition and analytics Sustainable IT practices and Green Technology DevOps, BizDevOps, and hybrid project management His recent publications focus on digital business models, agile transformations, and sustainability in IT. He has supervised numerous student seminars on topics like ITIL maturity assessments, data privacy, generative AI use cases, and metaverse applications. While no specific scientific awards are documented, his work has been presented at conferences including AMCIS, ECIS, and WI. Gerrit Remane collaborates with scholars such as S. Schneider, A. Hanelt, and L.M. Kolbe, and his research underscores the integration of IT with organizational strategy.

Jan-David Liebeمشاهده پروفایل

استاد

• Implementation Science
• Digital Health
• Human-Centered Design
• +۳ مورد دیگر

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

Richard Silberglittمشاهده پروفایل

استاد

• Emerging Technologies
• Science, Technology, and Innovation Policy
• Energy Security
• +۱۷ مورد دیگر

Richard Silberglitt is a Senior Physical Scientist at RAND and Professor of Policy Analysis at the RAND School of Public Policy, where he conducts interdisciplinary research at the nexus of science, technology, and public policy. With over 50 years of experience across academia, government, and industry, he is a leading expert in technology foresight, energy systems, and R&D portfolio management. His research focuses on emerging technologies , science and innovation policy , energy security , and nanotechnology . He has developed influential methodologies such as an energy scenario analysis framework and the PortMan portfolio management system, both widely applied in U.S. and international contexts. His work supports strategic planning in defense, public safety, and economic development. His recent publications reflect a strong trend toward technology foresight , critical materials supply chains , quantum technology assessment , and public sector innovation . These works often employ scenario planning, Delphi methods, and data-driven analytics to inform high-stakes policy decisions. Member, American Physical Society Member, Materials Research Society Member, American Ceramic Society As a subject matter expert, Silberglitt has advised the United Nations, U.S. Department of Defense, National Security Agency, and multiple federal agencies. He has chaired the International Advisory Board of the APEC Center for Technology Foresight and delivered testimony to U.S. Congressional committees on critical materials and technology policy. His research has been supported by grants and contracts from the U.S. Army, Navy, CDC, and National Institute of Justice. He has led major initiatives on law enforcement technology, transportation safety ( The Road to Zero ), and international technology foresight. His work often involves collaborative teams and cross-sector partnerships to address complex technological and policy challenges.

Oktay Türetkenمشاهده پروفایل

استاد

• Business Process Management
• Digital Business Models
• Smart Mobility Solutions
• +۳ مورد دیگر

Oktay Türetken is a Full Professor at Eindhoven University of Technology (TU/e) in the Industrial Engineering and Innovation Sciences school, specializing in Information Systems . He chairs the Industrial Engineering Bachelor Program and contributes to the European Research Center for Information Systems (ERCIS) in Münster, Germany. PhD in Information Systems Research Fellow at European Research Institute in Service Science (2008-2012) Adjunct Lecturer at METU’s Software Management program (pre-2008) His research focuses on digital innovation and collaborative business models , particularly in urban mobility. He develops methods for operational design , business process management , and data analytics maturity models . Key projects include MobilitEU and EU-funded initiatives in smart mobility. Recent publications address KPI frameworks for business models, platform design for shared mobility, and maturity models for organizational capabilities. He leads multi-disciplinary teams and has co-authored over 129 research outputs, including 2025 articles in Production Planning & Control and Business & Information Systems Engineering . 2021 : 1st Prize at DESRIST for paper prototype 2022 : 1st Prize for MaaS Platform Features research He supervises PhD candidates Ginger Korsten , Yasmin Rettab , and Stella Lo Giudice , and teaches courses like Digitalization and Enterprise Systems and Green and Digital Transformation . His work bridges academic research with industry consultancy via Cogniton Business Engineering Consultancy.

• Supply Chain Management
• Risk Management
• Service Engineering
• +۵ مورد دیگر

Fabiana Pirola is an Associate Professor at the University of Bergamo, holding positions in both the Department of Engineering and Applied Sciences and the Department of Management, Information, and Production Engineering. Her academic career spans over 17 years since completing her PhD at the University of Bergamo, progressing through research fellow positions to her current associate professorship in the ING-IND/17 – MECHANICAL INDUSTRIAL SYSTEMS scientific sector. Her research interests focus on supply chain management , risk management , service engineering , and industrial maintenance , with recent emphasis on Industry 4.0 and 5.0 technologies. She investigates how digital innovations connect with the design and management of production and service delivery systems, bridging theoretical research with industrial applications through collaborations with organizations like AFIL (Lombardy smart factory technology cluster), Confindustria Bergamo, and Consorzio Intellimech. Analysis of her recent publications reveals a strong focus on Product-Service Systems (PSS), digital transformation in manufacturing, and workforce development for Industry 4.0/5.0. Her work spans sustainability assessment of PSS, AI education through learning factories, servitization business models, and human factors in technology adoption. A significant portion of her research addresses practical implementation challenges in industrial settings, particularly through data-driven approaches to maintenance, service delivery, and decision-making. Dr. Pirola leads multiple significant research projects including Co-Creative Decision-Makers for 5.0 Organizations (Erasmus+, 2023), Green and Resilient European Excellence Network for Smart MED SMEs (2024), Methods and Tools Supporting Digital Product Service System Passport (Horizon Europe, 2024), and TechFact - Design and adoption of Teaching Factories (PRIN Projects, 2023). She teaches various courses related to production management, operations modeling and simulation, and service engineering across multiple engineering programs at the University of Bergamo.

• Management
• Sustainable Supply Chain Management
• Digital Transformation
• +۳ مورد دیگر

Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .

Ya-Jane Wangمشاهده پروفایل

استاد

• Carbohydrate Chemistry
• Starch Chemistry
• Rice Quality
• +۳ مورد دیگر

Jane Wang is a Professor in the Department of Food Science at the University of Arkansas , where she has served since 1999, progressing from Assistant to Full Professor. She also holds the title of Director of the Experiment Station in the Department of Food Science. Her research focuses on starch structure-functionality relationships , rice quality , and biomaterial utilization , with over 120 refereed publications and 5 patents. Education: B.S. in Agricultural Chemistry (1986) from National Taiwan University , M.S. in Food Science (1989) from the University of Minnesota , and Ph.D. in Food Science (1992) from Iowa State University . Postdoctoral research in starch chemistry at Iowa State University (1993-1994). Research Interests: Jane Wang's work explores starch chemistry, rice processing optimization, and value-added applications of agricultural byproducts. She investigates how starch modifications affect food and pharmaceutical properties, with a particular focus on parboiling, germination, and enzymatic treatments. Her research also examines the impact of environmental factors on rice starch development and quality. Scientific Awards: Outstanding Departmental Research Award (2008) Outstanding Volunteer, IFT Carbohydrate Division (2007) Outstanding Mentor, University of Arkansas (2005) Grants & Professional Service: She has secured over $3M in research funding, including USDA-NIFA grants and industry contracts with more than 50 food companies. Jane has served on numerous academic committees (Patent, Promotion & Tenure, Curriculum) and held leadership roles in professional organizations like IFT and AACC. She has also acted as associate editor for Cereal Chemistry and Carbohydrate Polymers , and reviewed for multiple journals and agencies. Labs & Teams: Dr. Wang leads the Carbohydrate Research Program at the University of Arkansas, focusing on starch structure-functionality, rice fortification, and biomaterial development. Her lab collaborates with industry partners and academic institutions to advance food science applications.

• Operations Management
• Retail Operations
• Marketing-Operations Interface
• +۹ مورد دیگر

Robert Rooderkerk is Associate Professor of Operations Management at the Rotterdam School of Management, Erasmus University Rotterdam, where he is affiliated with the Department of Technology and Operations Management. His research sits at the intersection of marketing and operations, focusing on omnichannel retail, assortment optimization, and fulfillment strategies. He teaches courses on retail operations, empirical research methods, and consumer decision making across undergraduate, MBA, and PhD programs. Research Interests: His research combines empirical and conceptual approaches to understand how data analytics, consumer behavior, and new technologies are transforming retail. He investigates topics such as product line design, dynamic assortment personalization, and the impact of fulfillment failures on customer loyalty. His work integrates methods from econometrics, operations research, and psychology. Publication Trends: His recent publications span journals in marketing, operations, and management, reflecting the interdisciplinary nature of his work. Key themes include the adoption of retail analytics, omnichannel integration, and behavioral aspects of retail operations. There is a strong emphasis on practical relevance and industry applicability. Dutch Marketing Science Award Paul Green Award Finalist, Journal of Marketing Research Advising and Grants: While no direct list of students is provided, he supervises bachelor theses and contributes to PhD training through the ERIM Master of Philosophy program. He has served as coordinator of the Research Training and Bachelor Thesis course. His research has been supported through academic collaborations and has had significant media coverage, indicating public and industry impact. Labs and Teams: He is actively involved in the Marketing-Operations Interface research group at RSM and collaborates with scholars globally. His work contributes to the UN Sustainable Development Goals, particularly through innovations in sustainable retail practices and responsible consumption.

• Poultry Science
• Precision Livestock Feeding
• Animal Nutrition
• +۵ مورد دیگر

Dr. Martin Zuidhof is a Professor in the Department of Agricultural, Food & Nutritional Science at the University of Alberta. His primary research focus is on Poultry Systems Modeling and Precision Feeding, particularly in optimizing broiler breeder management and energy partitioning. He holds a PhD in Animal Science from the University of Alberta and has pioneered transformative precision feeding systems that achieve unprecedented flock uniformity ( Education: PhD, Animal Science, University of Alberta Research Interests: Dr. Zuidhof’s work centers on advancing precision livestock systems through mathematical modeling (e.g., multiphasic growth models), optimizing pullet body weight for reproductive efficiency, and addressing societal concerns about animal welfare in poultry production. His innovations in precision feeding systems reduce nutrient waste while enabling precise metabolic studies. Publications: Over 50 peer-reviewed articles since 2004, spanning topics from energy partitioning to smart farming technologies. Recent work emphasizes low-cost sensor applications and Big Data integration in poultry systems. Teaching: Instructs courses like Applied Poultry Science (AFNS 571/AN SC 471) and Principles of Animal Agriculture , emphasizing experiential learning and critical scientific thinking. Grants/Advising: No explicit grants listed, but his research has received institutional support. No advisee names found in provided texts.

Sarah Ben Amorمشاهده پروفایل

استاد

• Multi-Criteria Decision Making (MCDM/MCDA)
• Operations Research
• Decision Support Systems
• +۵ مورد دیگر

Sarah Ben Amor is a Full Professor at the Telfer School of Management , University of Ottawa, with a PhD in Business Administration specializing in Operations and Decision Support. Her academic journey includes a B.A. from the University of Quebec in Outaouais (UQO), and M.Sc. and Ph.D. from Université Laval (uLaval). Fields of Interest : Multi-Criteria Decision Making (MCDM/MCDA), Operations Research, Decision Support Systems, Uncertainty Modeling, Risk Analysis Her research focuses on handling information imperfections in decision-making processes, particularly through multi-criteria analysis and stochastic modeling . Recent works include the development of hierarchical stochastic VIKOR methods, assessment of learning methodologies, and applications in healthcare and pharmaceutical decision-making. Her publication trends reveal a strong emphasis on multi-criteria frameworks for uncertain environments, spanning sustainable manufacturing , clinical decision-making , and portfolio analysis . Collaborative works appear in journals like Applied Soft Computing and Osteoarthritis and Cartilage . She has secured significant funding including: NSERC Grant (2019-2024): $130,000 Telfer School Grants : $6,000 (2014-2018) and $4,000 (2021-2022) Her educational contributions include teaching quantitative methods and developing decision-making models for defense, healthcare, and sustainability sectors, with international collaborations spanning Canada, Brazil, and Europe.

• Human Resource Management
• HR Process Approach
• Employee Perceptions of HR
• +۵ مورد دیگر

Professor Karin Sanders serves as Associate Dean (Research) at the UNSW Business School, where she is affiliated with the School of Management and Governance. With over two decades of academic experience, she has established herself as a leading scholar in Human Resource Management, particularly focusing on the HR process approach and employee perceptions of HR practices. Her research has been published in top-tier journals including HRM (Wiley), Academy of Management Learning & Education, Human Resource Management Journal, and International Journal of HRM. Professor Sanders' research primarily centers on the HR process approach, examining how employees' perceptions, understanding, and attributions of HR practices influence their attitudes and behaviors. Her work explores critical areas such as informal learning activities, cooperative behavior, commitment, knowledge sharing, team learning, and absenteeism. She has made significant contributions to understanding the effects of alignment between line managers and HR managers on organizational climate, defined as shared perceptions of the organization among employees within a team. Her methodological approach often employs multi-actor, multi-level, and multi-method research designs, reflecting the complexity of HR phenomena in organizational contexts. As an influential academic leader, Professor Sanders serves as Editor for Special Issues at the International Journal of HRM and Associate Editor for Human Resource Management and Frontiers of Business Research in China. She sits on the Editorial Boards of six HRM and management journals. Previously serving as Head of School for Management between 2015 and 2019, she was also a member of the Executive Committee of the HR Division Academy of Management from 2013 to 2018. Her recent work has increasingly focused on HRM during crises, including the development of HR analytics and responses to the pandemic. Professor Sanders has secured substantial research funding, including an Australian Research Council Linkage Project on capacity building in the Not-For-Profit sector and multiple industry collaborations. She has edited several books, including the "Handbook on HR Process Research" (2021) with Huadong Yang and Charmi Patel. Her scholarly contributions bridge theoretical rigor with practical relevance, influencing both academic discourse and HR practice worldwide.

Avniel Singh Ghumanمشاهده پروفایل

دانشیار

• visual cognition
• neural dynamics
• face recognition
• +۶ مورد دیگر

Dr. Avniel Singh Ghuman is an Associate Professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine. He serves as Director of the Cognitive Neurodynamics Lab and plays a key role in advancing MEG (Magnetoencephalography) Research at the university. His work bridges clinical neurosurgery with fundamental neuroscience research to understand visual perception mechanisms. Dr. Ghuman's educational background includes: BA in Math and Physics from The Johns Hopkins University (1998) PhD in Biophysics from Harvard University (2007) Postdoctoral training at the National Institute of Mental Health Dr. Ghuman's research focuses on how the brain transforms visual input into meaningful perception of objects, faces, words, and social images in real-world contexts. His laboratory employs both invasive (intracranial EEG) and non-invasive (MEG) techniques to examine the spatiotemporal dynamics of neural activity during visual processing. The lab integrates multivariate machine learning methods, network analysis, and direct neural stimulation to investigate information processing at both local brain regions and distributed network levels. Recent work has pioneered methods for studying brain activity during authentic social interactions and natural behavior. His publication record demonstrates significant contributions to understanding real-world face perception, neural dynamics during natural behavior, and the application of advanced analytical techniques to brain imaging data. His research has revealed how brain network dynamics form a 'punctuated equilibrium' of stable states with transitory bursts between them, coinciding with behavioral shifts in everyday activities. Dr. Ghuman has received notable recognition for his work: Young Investigator Award from NARSAD (2012) Award for Innovative New Scientists from the National Institute of Mental Health (2015) His research has been featured in prominent media outlets including MIT Technology Review, The Wall Street Journal, and Carnegie Mellon University publications. As Director of the Cognitive Neurodynamics Lab, Dr. Ghuman leads a research program that has advanced our understanding of how the brain processes visual information in real-world environments, with implications for both fundamental neuroscience and clinical applications.

Irene Nobeliمشاهده پروفایل

مدرس ارشد

• Bioinformatics
• Transcriptomics
• Regulatory RNAs
• +۳ مورد دیگر

Dr. Irene Nobeli is a Senior Lecturer and Education Lead (PG taught courses) at the School of Natural Sciences, Birkbeck, University of London. She specializes in computational biology and chemoinformatics, focusing on regulatory RNAs, transcriptomics in health/disease, brain disorders, and small molecule roles in biology. Her work bridges bioinformatics tools development and translational research. Administrative roles include directing the MSc Bioinformatics program and organizing the Sequence Analysis and Omics module. She collaborates with research centers like the Birkbeck Institute for Data Analytics (BIDA) and the Institute of Structural Molecular Biology (ISMB). Research interests span bioinformatics methodologies, Mycobacterium genomics, neurodevelopmental disorders, and computational drug design. Notable contributions include developing flexiMAP (alternative polyadenylation analysis) and baerhunter (bacterial non-coding RNA detection). Publications highlight her expertise in transcriptomics, bacterial pathogenesis, and neurobiological mechanisms. She actively engages in advancing computational methods for genomic data interpretation and translational medicine.